Update app.py

app.py

@@ -15,7 +15,7 @@ st.header("Cantonese Song Sentiment Analyzer")
 
 # load song
 input_file = ""
-output_file = ".\test1\"
+output_file = ""
 
 # preprocess and crop audio file
 def audio_preprocess():
@@ -27,15 +27,15 @@ def audio_preprocess():
     start_time = 60000  # e.g. 30 seconds, 30000
     end_time = 110000  # e.g. 40 seconds, 40000
 
-    audio = AudioSegment.from_file('.\test1\vocals.wav')
+    audio = AudioSegment.from_file('vocals.wav')
     cropped_audio = audio[start_time:end_time]
-    cropped_audio.export('.\cropped_vocals.wav', format='wav') # save vocal audio file
+    cropped_audio.export('cropped_vocals.wav', format='wav') # save vocal audio file
 
 
 # ASR transcription
 def asr_model():
     # load audio file
-    y, sr = librosa.load('.\cropped_vocals.wav', sr=16000)
+    y, sr = librosa.load('cropped_vocals.wav', sr=16000)
 
     # ASR model
     MODEL_NAME = "RexChan/ISOM5240-whisper-small-zhhk_1"